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Clinical Validation of a Generative AI System for Diagnosing Ampullary Lesions: A Multicenter Study.

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Title: Clinical Validation of a Generative AI System for Diagnosing Ampullary Lesions: A Multicenter Study.
Authors: Kwon JH; Seoul National University of Science and Technology, Seoul, Republic of Korea.; Hanyang University, Seoul, Republic of Korea., Lee HS; Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea., Choi SJ; Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea., Choi K; Seoul National University of Science and Technology, Seoul, Republic of Korea., Kang CM; Hanyang University, Seoul, Republic of Korea., So H; Department of Gastroenterology, Ulsan University Hospital, Seoul, Republic of Korea., Choi YH; Department of Medicine, Samsung Medical Center, Seoul, Republic of Korea., Lee JM; Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea., Lee KJ; Division of Gastroenterology, Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong-si, Gyeonggi-do, Republic of Korea., Yoon JH; Department of Internal Medicine, Hanyang University Hospital, Seoul, Republic of Korea., Jin DS; University of Ulsan, Ulsan, Republic of Korea., Kim HJ; Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Source: United European gastroenterology journal [United European Gastroenterol J] 2026 Jun; Vol. 14 (5), pp. e70249.
Publication Type: Journal Article; Multicenter Study; Validation Study
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 101606807 Publication Model: Print Cited Medium: Internet ISSN: 2050-6414 (Electronic) Linking ISSN: 20506406 NLM ISO Abbreviation: United European Gastroenterol J Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2050-6414
DOI:10.1002/ueg2.70249